Senior MLOps Engineer - Remote

Overview

We are seeking a Senior MLOps Engineer to join a cutting-edge AI/ML engineering team. In this high-visibility role, you will design and implement MLOps pipelines, manage cloud-based resources, and optimize AI/ML infrastructure to deliver scalable, precise, and innovative machine learning solutions.

In Short

• Design and implement MLOps pipelines to ensure consistency across the organization.
• Configure and manage cloud-based resources to support AI/ML workloads.
• Automate model deployment and management through scripts and tools.
• Collaborate with data scientists and engineers to develop tailored MLOps solutions.
• Monitor and optimize AI/ML infrastructure performance, identifying and resolving bottlenecks.

Requirements

• Extensive experience deploying machine learning models to cloud environments.
• Strong expertise in container orchestration tools.
• Proficiency in infrastructure-as-code (IaC) frameworks for cloud resource management.
• Hands-on experience with streaming data platforms.
• Solid understanding of data cleaning, transformation, and ETL processes.
• Experience with CI/CD tools and pipelines.

Benefits

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive.
• Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD.
• Paid Time Off: We value your well-being with our paid time off policies.
• Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done.
• Work with Top American Companies: Grow your expertise working on innovative projects.